Promble
link: https://leetcode.com/problems/combination-sum-iii/
Find all valid combinations of k numbers that sum up to n such that the following conditions are true:
Only numbers 1 through 9 are used. Each number is used at most once. Return a list of all possible valid combinations. The list must not contain the same combination twice, and the combinations may be returned in any order.
Input: k = 3, n = 7
Output: [[1,2,4]]
Explanation:
1 + 2 + 4 = 7
There are no other valid combinations.
Input: k = 3, n = 9
Output: [[1,2,6],[1,3,5],[2,3,4]]
Explanation:
1 + 2 + 6 = 9
1 + 3 + 5 = 9
2 + 3 + 4 = 9
There are no other valid combinations.
Input: k = 4, n = 1
Output: []
Explanation: There are no valid combinations.
Using 4 different numbers in the range [1,9], the smallest sum we can get is 1+2+3+4 = 10 and since 10 > 1, there are no valid combination.
Approach 1
use itertools libs.
Thought
- def res to store the final result.
- loop i in combinations(list(range(1,10)), k)
- if sum(i) == n: res.append(i)
- return res
Code
from itertools import combinations
class Solution:
def combinationSum3(self, k: int, n: int) -> List[List[int]]:
res = []
for i in combinations(list(range(1,10)), k):
if sum(i) == n:
res.append(i)
return res
Approach 2
DFS method.
Thought
- def temp:list to store the recurrence in def.
- def res:list to store the final result.
- the dfs start status is: k,n,1,temp,res
- def dfs function, var: k,n,start,temp,res
- if k == 0 and n == 0: res.append(list(temp)), return
- loop i in range(start, 10) # only loop larger start number
- judge if i > n: return # pruning
- add i to temp
- recurrence dfs, self.dfs(k-1, n-i, i+1, temp, res)
- temp.pop
- return res
Code
class Solution:
def combinationSum3(self, k: int, n: int) -> List[List[int]]:
temp = []
res = []
self.dfs(k,n,1, temp, res)
return res
def dfs(self, k, n, start, temp, res):
# example 3
if k == 0 and n == 0:
res.append(list(temp))
return
for i in range(start, 10):
if i > n:
return # pruning
temp.append(i)
self.dfs(k-1, n-i, i+1, temp, res)
temp.pop()